Overview

Dataset statistics

Number of variables17
Number of observations134
Missing cells410
Missing cells (%)18.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.9 KiB
Average record size in memory137.0 B

Variable types

Numeric5
Text7
Categorical4
Unsupported1

Alerts

airdate has constant value ""Constant
id is highly overall correlated with id_embedded and 1 other fieldsHigh correlation
id_embedded is highly overall correlated with id and 2 other fieldsHigh correlation
season is highly overall correlated with id_embedded and 2 other fieldsHigh correlation
number is highly overall correlated with type and 1 other fieldsHigh correlation
type is highly overall correlated with id and 2 other fieldsHigh correlation
airtime is highly overall correlated with season and 2 other fieldsHigh correlation
airstamp is highly overall correlated with season and 1 other fieldsHigh correlation
type is highly imbalanced (93.7%)Imbalance
airtime is highly imbalanced (50.2%)Imbalance
runtime has 10 (7.5%) missing valuesMissing
rating_average has 134 (100.0%) missing valuesMissing
medium has 89 (66.4%) missing valuesMissing
original has 89 (66.4%) missing valuesMissing
summary has 87 (64.9%) missing valuesMissing
id has unique valuesUnique
url has unique valuesUnique
_links_self has unique valuesUnique
rating_average is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-08-05 19:15:08.584099
Analysis finished2023-08-05 19:15:12.490850
Duration3.91 seconds
Software versionydata-profiling vv4.4.0
Download configurationconfig.json

Variables

id
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct134
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2449801.6
Minimum2286564
Maximum2599590
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-08-05T14:15:12.577874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2286564
5-th percentile2391724.5
Q12438508
median2448409.5
Q32461287.2
95-th percentile2507815.5
Maximum2599590
Range313026
Interquartile range (IQR)22779.25

Descriptive statistics

Standard deviation35231.843
Coefficient of variation (CV)0.014381509
Kurtosis6.9021959
Mean2449801.6
Median Absolute Deviation (MAD)11320.5
Skewness0.38317456
Sum3.2827342 × 108
Variance1.2412828 × 109
MonotonicityNot monotonic
2023-08-05T14:15:12.745742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2448374 1
 
0.7%
2434367 1
 
0.7%
2452727 1
 
0.7%
2451368 1
 
0.7%
2448353 1
 
0.7%
2448352 1
 
0.7%
2448351 1
 
0.7%
2448350 1
 
0.7%
2448349 1
 
0.7%
2448348 1
 
0.7%
Other values (124) 124
92.5%
ValueCountFrequency (%)
2286564 1
0.7%
2374463 1
0.7%
2382161 1
0.7%
2383029 1
0.7%
2389801 1
0.7%
2390467 1
0.7%
2390468 1
0.7%
2392401 1
0.7%
2393544 1
0.7%
2397087 1
0.7%
ValueCountFrequency (%)
2599590 1
0.7%
2577830 1
0.7%
2568169 1
0.7%
2530435 1
0.7%
2514877 1
0.7%
2514556 1
0.7%
2508561 1
0.7%
2507414 1
0.7%
2500858 1
0.7%
2497206 1
0.7%

id_embedded
Real number (ℝ)

HIGH CORRELATION 

Distinct89
Distinct (%)66.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58252.127
Minimum4175
Maximum69964
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-08-05T14:15:12.907225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4175
5-th percentile25811.25
Q154897
median65232
Q365819
95-th percentile66518.35
Maximum69964
Range65789
Interquartile range (IQR)10922

Descriptive statistics

Standard deviation13672.723
Coefficient of variation (CV)0.23471628
Kurtosis5.5866588
Mean58252.127
Median Absolute Deviation (MAD)1001
Skewness-2.3508429
Sum7805785
Variance1.8694335 × 108
MonotonicityNot monotonic
2023-08-05T14:15:13.199607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
65730 10
 
7.5%
65964 9
 
6.7%
65246 6
 
4.5%
66179 6
 
4.5%
46819 5
 
3.7%
65819 5
 
3.7%
44698 3
 
2.2%
65757 2
 
1.5%
47928 2
 
1.5%
66103 2
 
1.5%
Other values (79) 84
62.7%
ValueCountFrequency (%)
4175 1
0.7%
5693 1
0.7%
6441 1
0.7%
11313 1
0.7%
11630 1
0.7%
19499 1
0.7%
24963 1
0.7%
26268 1
0.7%
41611 1
0.7%
42025 1
0.7%
ValueCountFrequency (%)
69964 1
0.7%
68144 1
0.7%
67776 1
0.7%
67532 1
0.7%
67120 1
0.7%
66819 1
0.7%
66610 1
0.7%
66469 1
0.7%
66305 1
0.7%
66222 1
0.7%

url
Text

UNIQUE 

Distinct134
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-08-05T14:15:13.427486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length158
Median length101
Mean length80.776119
Min length57

Characters and Unicode

Total characters10824
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique134 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/2448374/krutiksy-2x03-plumageddon
2nd rowhttps://www.tvmaze.com/episodes/2568169/5-knig-2x04-mihail-kozuhov
3rd rowhttps://www.tvmaze.com/episodes/2392401/cernaa-vesna-1x05-seria-5
4th rowhttps://www.tvmaze.com/episodes/2413771/avrora-1x08-seria-8
5th rowhttps://www.tvmaze.com/episodes/2462690/yet-another-conference-1x01-gorodskie-servisy
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/2448374/krutiksy-2x03-plumageddon 1
 
0.7%
https://www.tvmaze.com/episodes/2383029/swallowed-star-2x40-episode-66 1
 
0.7%
https://www.tvmaze.com/episodes/2413771/avrora-1x08-seria-8 1
 
0.7%
https://www.tvmaze.com/episodes/2462690/yet-another-conference-1x01-gorodskie-servisy 1
 
0.7%
https://www.tvmaze.com/episodes/2462692/yet-another-conference-1x02-masinnoe-obucenie 1
 
0.7%
https://www.tvmaze.com/episodes/2462693/yet-another-conference-1x03-marketplejs-s-robotami-i-nejrosetami 1
 
0.7%
https://www.tvmaze.com/episodes/2462694/yet-another-conference-1x04-po-tu-storonu-ekrana 1
 
0.7%
https://www.tvmaze.com/episodes/2462695/yet-another-conference-1x05-karty-novogo-pokolenia 1
 
0.7%
https://www.tvmaze.com/episodes/2462696/yet-another-conference-1x06-kvartiry-cerez-internet 1
 
0.7%
https://www.tvmaze.com/episodes/2462697/yet-another-conference-1x07-naucit-ucitsa 1
 
0.7%
Other values (124) 124
92.5%
2023-08-05T14:15:13.842160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 949
 
8.8%
- 872
 
8.1%
/ 670
 
6.2%
t 669
 
6.2%
s 663
 
6.1%
o 593
 
5.5%
a 467
 
4.3%
w 445
 
4.1%
i 393
 
3.6%
p 392
 
3.6%
Other values (30) 4711
43.5%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7371
68.1%
Decimal Number 1509
 
13.9%
Other Punctuation 1072
 
9.9%
Dash Punctuation 872
 
8.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 949
12.9%
t 669
 
9.1%
s 663
 
9.0%
o 593
 
8.0%
a 467
 
6.3%
w 445
 
6.0%
i 393
 
5.3%
p 392
 
5.3%
m 352
 
4.8%
d 285
 
3.9%
Other values (16) 2163
29.3%
Decimal Number
ValueCountFrequency (%)
2 275
18.2%
4 271
18.0%
1 225
14.9%
0 158
10.5%
3 137
9.1%
6 115
7.6%
5 104
 
6.9%
9 79
 
5.2%
7 73
 
4.8%
8 72
 
4.8%
Other Punctuation
ValueCountFrequency (%)
/ 670
62.5%
. 268
 
25.0%
: 134
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 872
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7371
68.1%
Common 3453
31.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 949
12.9%
t 669
 
9.1%
s 663
 
9.0%
o 593
 
8.0%
a 467
 
6.3%
w 445
 
6.0%
i 393
 
5.3%
p 392
 
5.3%
m 352
 
4.8%
d 285
 
3.9%
Other values (16) 2163
29.3%
Common
ValueCountFrequency (%)
- 872
25.3%
/ 670
19.4%
2 275
 
8.0%
4 271
 
7.8%
. 268
 
7.8%
1 225
 
6.5%
0 158
 
4.6%
3 137
 
4.0%
: 134
 
3.9%
6 115
 
3.3%
Other values (4) 328
 
9.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10824
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 949
 
8.8%
- 872
 
8.1%
/ 670
 
6.2%
t 669
 
6.2%
s 663
 
6.1%
o 593
 
5.5%
a 467
 
4.3%
w 445
 
4.1%
i 393
 
3.6%
p 392
 
3.6%
Other values (30) 4711
43.5%

name
Text

Distinct113
Distinct (%)84.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-08-05T14:15:14.207278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length111
Median length59
Mean length17.313433
Min length7

Characters and Unicode

Total characters2320
Distinct characters138
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique99 ?
Unique (%)73.9%

Sample

1st rowПлюмагеддон
2nd rowМИХАИЛ КОЖУХОВ
3rd rowСерия 5
4th rowСерия 8
5th rowГородские сервисы
ValueCountFrequency (%)
episode 46
 
10.6%
the 17
 
3.9%
5 9
 
2.1%
chapter 8
 
1.8%
a 7
 
1.6%
3 5
 
1.1%
capítulo 5
 
1.1%
9 5
 
1.1%
серия 5
 
1.1%
1 4
 
0.9%
Other values (276) 324
74.5%
2023-08-05T14:15:14.755605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
301
 
13.0%
e 178
 
7.7%
o 116
 
5.0%
i 115
 
5.0%
s 105
 
4.5%
a 101
 
4.4%
d 75
 
3.2%
p 74
 
3.2%
r 69
 
3.0%
t 69
 
3.0%
Other values (128) 1117
48.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1535
66.2%
Uppercase Letter 319
 
13.8%
Space Separator 301
 
13.0%
Decimal Number 122
 
5.3%
Other Punctuation 36
 
1.6%
Dash Punctuation 5
 
0.2%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 178
 
11.6%
o 116
 
7.6%
i 115
 
7.5%
s 105
 
6.8%
a 101
 
6.6%
d 75
 
4.9%
p 74
 
4.8%
r 69
 
4.5%
t 69
 
4.5%
n 51
 
3.3%
Other values (58) 582
37.9%
Uppercase Letter
ValueCountFrequency (%)
E 49
 
15.4%
T 28
 
8.8%
C 27
 
8.5%
G 16
 
5.0%
S 13
 
4.1%
L 13
 
4.1%
B 13
 
4.1%
D 13
 
4.1%
P 12
 
3.8%
A 10
 
3.1%
Other values (38) 125
39.2%
Decimal Number
ValueCountFrequency (%)
1 27
22.1%
2 20
16.4%
4 15
12.3%
5 13
10.7%
3 12
9.8%
6 10
 
8.2%
9 9
 
7.4%
0 6
 
4.9%
7 6
 
4.9%
8 4
 
3.3%
Other Punctuation
ValueCountFrequency (%)
, 12
33.3%
: 9
25.0%
. 6
16.7%
' 3
 
8.3%
? 3
 
8.3%
/ 1
 
2.8%
& 1
 
2.8%
# 1
 
2.8%
Space Separator
ValueCountFrequency (%)
301
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1549
66.8%
Common 466
 
20.1%
Cyrillic 305
 
13.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 178
 
11.5%
o 116
 
7.5%
i 115
 
7.4%
s 105
 
6.8%
a 101
 
6.5%
d 75
 
4.8%
p 74
 
4.8%
r 69
 
4.5%
t 69
 
4.5%
n 51
 
3.3%
Other values (54) 596
38.5%
Cyrillic
ValueCountFrequency (%)
о 27
 
8.9%
е 26
 
8.5%
и 24
 
7.9%
р 23
 
7.5%
а 18
 
5.9%
т 17
 
5.6%
н 13
 
4.3%
с 12
 
3.9%
я 10
 
3.3%
м 9
 
3.0%
Other values (42) 126
41.3%
Common
ValueCountFrequency (%)
301
64.6%
1 27
 
5.8%
2 20
 
4.3%
4 15
 
3.2%
5 13
 
2.8%
3 12
 
2.6%
, 12
 
2.6%
6 10
 
2.1%
9 9
 
1.9%
: 9
 
1.9%
Other values (12) 38
 
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1980
85.3%
Cyrillic 305
 
13.1%
None 35
 
1.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
301
 
15.2%
e 178
 
9.0%
o 116
 
5.9%
i 115
 
5.8%
s 105
 
5.3%
a 101
 
5.1%
d 75
 
3.8%
p 74
 
3.7%
r 69
 
3.5%
t 69
 
3.5%
Other values (62) 777
39.2%
Cyrillic
ValueCountFrequency (%)
о 27
 
8.9%
е 26
 
8.5%
и 24
 
7.9%
р 23
 
7.5%
а 18
 
5.9%
т 17
 
5.6%
н 13
 
4.3%
с 12
 
3.9%
я 10
 
3.3%
м 9
 
3.0%
Other values (42) 126
41.3%
None
ValueCountFrequency (%)
á 6
17.1%
é 6
17.1%
í 5
14.3%
ó 3
8.6%
ł 3
8.6%
ę 3
8.6%
ś 2
 
5.7%
ú 1
 
2.9%
ö 1
 
2.9%
ü 1
 
2.9%
Other values (4) 4
11.4%

season
Real number (ℝ)

HIGH CORRELATION 

Distinct13
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77.723881
Minimum1
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-08-05T14:15:14.909330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q32
95-th percentile18.1
Maximum2022
Range2021
Interquartile range (IQR)1

Descriptive statistics

Standard deviation384.23278
Coefficient of variation (CV)4.9435615
Kurtosis22.717565
Mean77.723881
Median Absolute Deviation (MAD)0
Skewness4.9372196
Sum10415
Variance147634.83
MonotonicityNot monotonic
2023-08-05T14:15:15.053146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
1 88
65.7%
2 13
 
9.7%
3 9
 
6.7%
4 8
 
6.0%
2022 5
 
3.7%
5 3
 
2.2%
13 2
 
1.5%
28 1
 
0.7%
6 1
 
0.7%
22 1
 
0.7%
Other values (3) 3
 
2.2%
ValueCountFrequency (%)
1 88
65.7%
2 13
 
9.7%
3 9
 
6.7%
4 8
 
6.0%
5 3
 
2.2%
6 1
 
0.7%
8 1
 
0.7%
11 1
 
0.7%
13 2
 
1.5%
16 1
 
0.7%
ValueCountFrequency (%)
2022 5
3.7%
28 1
 
0.7%
22 1
 
0.7%
16 1
 
0.7%
13 2
 
1.5%
11 1
 
0.7%
8 1
 
0.7%
6 1
 
0.7%
5 3
 
2.2%
4 8
6.0%

number
Real number (ℝ)

HIGH CORRELATION 

Distinct42
Distinct (%)31.6%
Missing1
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean20.263158
Minimum1
Maximum293
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-08-05T14:15:15.200425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.6
Q15
median8
Q315
95-th percentile67.4
Maximum293
Range292
Interquartile range (IQR)10

Descriptive statistics

Standard deviation39.187949
Coefficient of variation (CV)1.9339507
Kurtosis26.214373
Mean20.263158
Median Absolute Deviation (MAD)5
Skewness4.6739487
Sum2695
Variance1535.6954
MonotonicityNot monotonic
2023-08-05T14:15:15.352944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
5 13
 
9.7%
3 10
 
7.5%
9 10
 
7.5%
2 9
 
6.7%
6 9
 
6.7%
1 7
 
5.2%
7 7
 
5.2%
4 7
 
5.2%
8 6
 
4.5%
12 6
 
4.5%
Other values (32) 49
36.6%
ValueCountFrequency (%)
1 7
5.2%
2 9
6.7%
3 10
7.5%
4 7
5.2%
5 13
9.7%
6 9
6.7%
7 7
5.2%
8 6
4.5%
9 10
7.5%
10 4
 
3.0%
ValueCountFrequency (%)
293 1
0.7%
249 1
0.7%
131 1
0.7%
119 1
0.7%
118 1
0.7%
114 1
0.7%
68 1
0.7%
67 1
0.7%
63 1
0.7%
62 1
0.7%

type
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
regular
133 
significant_special
 
1

Length

Max length19
Median length7
Mean length7.0895522
Min length7

Characters and Unicode

Total characters950
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st rowregular
2nd rowregular
3rd rowregular
4th rowregular
5th rowregular

Common Values

ValueCountFrequency (%)
regular 133
99.3%
significant_special 1
 
0.7%

Length

2023-08-05T14:15:15.507836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-05T14:15:15.618605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
regular 133
99.3%
significant_special 1
 
0.7%

Most occurring characters

ValueCountFrequency (%)
r 266
28.0%
a 135
14.2%
e 134
14.1%
g 134
14.1%
l 134
14.1%
u 133
14.0%
i 4
 
0.4%
s 2
 
0.2%
n 2
 
0.2%
c 2
 
0.2%
Other values (4) 4
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 949
99.9%
Connector Punctuation 1
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 266
28.0%
a 135
14.2%
e 134
14.1%
g 134
14.1%
l 134
14.1%
u 133
14.0%
i 4
 
0.4%
s 2
 
0.2%
n 2
 
0.2%
c 2
 
0.2%
Other values (3) 3
 
0.3%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 949
99.9%
Common 1
 
0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 266
28.0%
a 135
14.2%
e 134
14.1%
g 134
14.1%
l 134
14.1%
u 133
14.0%
i 4
 
0.4%
s 2
 
0.2%
n 2
 
0.2%
c 2
 
0.2%
Other values (3) 3
 
0.3%
Common
ValueCountFrequency (%)
_ 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 950
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 266
28.0%
a 135
14.2%
e 134
14.1%
g 134
14.1%
l 134
14.1%
u 133
14.0%
i 4
 
0.4%
s 2
 
0.2%
n 2
 
0.2%
c 2
 
0.2%
Other values (4) 4
 
0.4%

airdate
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2022-12-14
134 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1340
Distinct characters5
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-14
2nd row2022-12-14
3rd row2022-12-14
4th row2022-12-14
5th row2022-12-14

Common Values

ValueCountFrequency (%)
2022-12-14 134
100.0%

Length

2023-08-05T14:15:15.743957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-05T14:15:15.854276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-14 134
100.0%

Most occurring characters

ValueCountFrequency (%)
2 536
40.0%
- 268
20.0%
1 268
20.0%
0 134
 
10.0%
4 134
 
10.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1072
80.0%
Dash Punctuation 268
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 536
50.0%
1 268
25.0%
0 134
 
12.5%
4 134
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 268
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1340
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 536
40.0%
- 268
20.0%
1 268
20.0%
0 134
 
10.0%
4 134
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 536
40.0%
- 268
20.0%
1 268
20.0%
0 134
 
10.0%
4 134
 
10.0%

airtime
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct21
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
89 
18:00
11 
20:00
 
5
21:00
 
5
10:00
 
4
Other values (16)
20 

Length

Max length5
Median length0
Mean length1.6791045
Min length0

Characters and Unicode

Total characters225
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)9.0%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
89
66.4%
18:00 11
 
8.2%
20:00 5
 
3.7%
21:00 5
 
3.7%
10:00 4
 
3.0%
11:30 2
 
1.5%
12:00 2
 
1.5%
19:00 2
 
1.5%
21:30 2
 
1.5%
07:00 1
 
0.7%
Other values (11) 11
 
8.2%

Length

2023-08-05T14:15:15.971649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
18:00 11
24.4%
21:00 5
11.1%
20:00 5
11.1%
10:00 4
 
8.9%
11:30 2
 
4.4%
12:00 2
 
4.4%
19:00 2
 
4.4%
21:30 2
 
4.4%
19:50 1
 
2.2%
20:30 1
 
2.2%
Other values (10) 10
22.2%

Most occurring characters

ValueCountFrequency (%)
0 95
42.2%
: 45
20.0%
1 37
 
16.4%
2 15
 
6.7%
8 13
 
5.8%
3 10
 
4.4%
9 4
 
1.8%
7 2
 
0.9%
5 2
 
0.9%
6 1
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 180
80.0%
Other Punctuation 45
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 95
52.8%
1 37
 
20.6%
2 15
 
8.3%
8 13
 
7.2%
3 10
 
5.6%
9 4
 
2.2%
7 2
 
1.1%
5 2
 
1.1%
6 1
 
0.6%
4 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
: 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 225
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 95
42.2%
: 45
20.0%
1 37
 
16.4%
2 15
 
6.7%
8 13
 
5.8%
3 10
 
4.4%
9 4
 
1.8%
7 2
 
0.9%
5 2
 
0.9%
6 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 225
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 95
42.2%
: 45
20.0%
1 37
 
16.4%
2 15
 
6.7%
8 13
 
5.8%
3 10
 
4.4%
9 4
 
1.8%
7 2
 
0.9%
5 2
 
0.9%
6 1
 
0.4%

airstamp
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2022-12-14T12:00:00+00:00
58 
2022-12-14T00:00:00+00:00
13 
2022-12-14T04:00:00+00:00
2022-12-14T17:00:00+00:00
2022-12-14T10:00:00+00:00
Other values (22)
41 

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters3350
Distinct characters14
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)9.7%

Sample

1st row2022-12-14T00:00:00+00:00
2nd row2022-12-14T00:00:00+00:00
3rd row2022-12-14T00:00:00+00:00
4th row2022-12-14T00:00:00+00:00
5th row2022-12-14T00:00:00+00:00

Common Values

ValueCountFrequency (%)
2022-12-14T12:00:00+00:00 58
43.3%
2022-12-14T00:00:00+00:00 13
 
9.7%
2022-12-14T04:00:00+00:00 9
 
6.7%
2022-12-14T17:00:00+00:00 7
 
5.2%
2022-12-14T10:00:00+00:00 6
 
4.5%
2022-12-14T20:00:00+00:00 5
 
3.7%
2022-12-14T11:00:00+00:00 5
 
3.7%
2022-12-14T21:00:00+00:00 4
 
3.0%
2022-12-15T01:00:00+00:00 3
 
2.2%
2022-12-14T02:00:00+00:00 3
 
2.2%
Other values (17) 21
 
15.7%

Length

2023-08-05T14:15:16.103152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-12-14t12:00:00+00:00 58
43.3%
2022-12-14t00:00:00+00:00 13
 
9.7%
2022-12-14t04:00:00+00:00 9
 
6.7%
2022-12-14t17:00:00+00:00 7
 
5.2%
2022-12-14t10:00:00+00:00 6
 
4.5%
2022-12-14t20:00:00+00:00 5
 
3.7%
2022-12-14t11:00:00+00:00 5
 
3.7%
2022-12-14t21:00:00+00:00 4
 
3.0%
2022-12-15t01:00:00+00:00 3
 
2.2%
2022-12-14t02:00:00+00:00 3
 
2.2%
Other values (17) 21
 
15.7%

Most occurring characters

ValueCountFrequency (%)
0 1264
37.7%
2 608
18.1%
: 402
 
12.0%
1 364
 
10.9%
- 268
 
8.0%
4 138
 
4.1%
T 134
 
4.0%
+ 134
 
4.0%
3 14
 
0.4%
5 10
 
0.3%
Other values (4) 14
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2412
72.0%
Other Punctuation 402
 
12.0%
Dash Punctuation 268
 
8.0%
Uppercase Letter 134
 
4.0%
Math Symbol 134
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1264
52.4%
2 608
25.2%
1 364
 
15.1%
4 138
 
5.7%
3 14
 
0.6%
5 10
 
0.4%
7 9
 
0.4%
9 2
 
0.1%
8 2
 
0.1%
6 1
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
: 402
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 268
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 134
100.0%
Math Symbol
ValueCountFrequency (%)
+ 134
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3216
96.0%
Latin 134
 
4.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1264
39.3%
2 608
18.9%
: 402
 
12.5%
1 364
 
11.3%
- 268
 
8.3%
4 138
 
4.3%
+ 134
 
4.2%
3 14
 
0.4%
5 10
 
0.3%
7 9
 
0.3%
Other values (3) 5
 
0.2%
Latin
ValueCountFrequency (%)
T 134
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3350
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1264
37.7%
2 608
18.1%
: 402
 
12.0%
1 364
 
10.9%
- 268
 
8.0%
4 138
 
4.1%
T 134
 
4.0%
+ 134
 
4.0%
3 14
 
0.4%
5 10
 
0.3%
Other values (4) 14
 
0.4%

runtime
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)38.7%
Missing10
Missing (%)7.5%
Infinite0
Infinite (%)0.0%
Mean40.395161
Minimum4
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-08-05T14:15:16.253051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile10
Q125
median39.5
Q347
95-th percentile90
Maximum165
Range161
Interquartile range (IQR)22

Descriptive statistics

Standard deviation25.866077
Coefficient of variation (CV)0.64032613
Kurtosis5.4512666
Mean40.395161
Median Absolute Deviation (MAD)13.5
Skewness1.9199464
Sum5009
Variance669.05396
MonotonicityNot monotonic
2023-08-05T14:15:16.428657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
60 10
 
7.5%
40 9
 
6.7%
45 8
 
6.0%
28 7
 
5.2%
10 6
 
4.5%
30 6
 
4.5%
25 6
 
4.5%
120 4
 
3.0%
35 4
 
3.0%
46 4
 
3.0%
Other values (38) 60
44.8%
(Missing) 10
 
7.5%
ValueCountFrequency (%)
4 1
 
0.7%
6 2
 
1.5%
10 6
4.5%
12 1
 
0.7%
13 1
 
0.7%
14 1
 
0.7%
15 3
2.2%
16 2
 
1.5%
17 1
 
0.7%
18 1
 
0.7%
ValueCountFrequency (%)
165 1
 
0.7%
120 4
 
3.0%
95 1
 
0.7%
90 2
 
1.5%
89 1
 
0.7%
66 1
 
0.7%
65 1
 
0.7%
62 1
 
0.7%
60 10
7.5%
59 1
 
0.7%

rating_average
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing134
Missing (%)100.0%
Memory size1.2 KiB

medium
Text

MISSING 

Distinct45
Distinct (%)100.0%
Missing89
Missing (%)66.4%
Memory size1.2 KiB
2023-08-05T14:15:16.689409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length73
Mean length73
Min length73

Characters and Unicode

Total characters3285
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/medium_landscape/435/1087592.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/435/1087591.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/435/1087819.jpg
4th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/435/1087820.jpg
5th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/435/1087822.jpg
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/436/1090566.jpg 1
 
2.2%
https://static.tvmaze.com/uploads/images/medium_landscape/436/1090846.jpg 1
 
2.2%
https://static.tvmaze.com/uploads/images/medium_landscape/435/1087591.jpg 1
 
2.2%
https://static.tvmaze.com/uploads/images/medium_landscape/435/1087819.jpg 1
 
2.2%
https://static.tvmaze.com/uploads/images/medium_landscape/435/1087820.jpg 1
 
2.2%
https://static.tvmaze.com/uploads/images/medium_landscape/435/1087822.jpg 1
 
2.2%
https://static.tvmaze.com/uploads/images/medium_landscape/435/1087824.jpg 1
 
2.2%
https://static.tvmaze.com/uploads/images/medium_landscape/435/1087826.jpg 1
 
2.2%
https://static.tvmaze.com/uploads/images/medium_landscape/434/1087391.jpg 1
 
2.2%
https://static.tvmaze.com/uploads/images/medium_landscape/435/1088283.jpg 1
 
2.2%
Other values (35) 35
77.8%
2023-08-05T14:15:17.126850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 315
 
9.6%
a 270
 
8.2%
m 225
 
6.8%
s 225
 
6.8%
t 225
 
6.8%
p 180
 
5.5%
e 180
 
5.5%
i 135
 
4.1%
c 135
 
4.1%
. 135
 
4.1%
Other values (22) 1260
38.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2295
69.9%
Other Punctuation 495
 
15.1%
Decimal Number 450
 
13.7%
Connector Punctuation 45
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 270
11.8%
m 225
9.8%
s 225
9.8%
t 225
9.8%
p 180
 
7.8%
e 180
 
7.8%
i 135
 
5.9%
c 135
 
5.9%
d 135
 
5.9%
o 90
 
3.9%
Other values (8) 495
21.6%
Decimal Number
ValueCountFrequency (%)
4 78
17.3%
1 69
15.3%
8 68
15.1%
0 61
13.6%
3 49
10.9%
5 46
10.2%
7 39
8.7%
9 16
 
3.6%
6 13
 
2.9%
2 11
 
2.4%
Other Punctuation
ValueCountFrequency (%)
/ 315
63.6%
. 135
27.3%
: 45
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2295
69.9%
Common 990
30.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 270
11.8%
m 225
9.8%
s 225
9.8%
t 225
9.8%
p 180
 
7.8%
e 180
 
7.8%
i 135
 
5.9%
c 135
 
5.9%
d 135
 
5.9%
o 90
 
3.9%
Other values (8) 495
21.6%
Common
ValueCountFrequency (%)
/ 315
31.8%
. 135
13.6%
4 78
 
7.9%
1 69
 
7.0%
8 68
 
6.9%
0 61
 
6.2%
3 49
 
4.9%
5 46
 
4.6%
_ 45
 
4.5%
: 45
 
4.5%
Other values (4) 79
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3285
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 315
 
9.6%
a 270
 
8.2%
m 225
 
6.8%
s 225
 
6.8%
t 225
 
6.8%
p 180
 
5.5%
e 180
 
5.5%
i 135
 
4.1%
c 135
 
4.1%
. 135
 
4.1%
Other values (22) 1260
38.4%

original
Text

MISSING 

Distinct45
Distinct (%)100.0%
Missing89
Missing (%)66.4%
Memory size1.2 KiB
2023-08-05T14:15:17.407908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length75
Mean length75
Min length75

Characters and Unicode

Total characters3375
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/original_untouched/435/1087592.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/original_untouched/435/1087591.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/original_untouched/435/1087819.jpg
4th rowhttps://static.tvmaze.com/uploads/images/original_untouched/435/1087820.jpg
5th rowhttps://static.tvmaze.com/uploads/images/original_untouched/435/1087822.jpg
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/436/1090566.jpg 1
 
2.2%
https://static.tvmaze.com/uploads/images/original_untouched/436/1090846.jpg 1
 
2.2%
https://static.tvmaze.com/uploads/images/original_untouched/435/1087591.jpg 1
 
2.2%
https://static.tvmaze.com/uploads/images/original_untouched/435/1087819.jpg 1
 
2.2%
https://static.tvmaze.com/uploads/images/original_untouched/435/1087820.jpg 1
 
2.2%
https://static.tvmaze.com/uploads/images/original_untouched/435/1087822.jpg 1
 
2.2%
https://static.tvmaze.com/uploads/images/original_untouched/435/1087824.jpg 1
 
2.2%
https://static.tvmaze.com/uploads/images/original_untouched/435/1087826.jpg 1
 
2.2%
https://static.tvmaze.com/uploads/images/original_untouched/434/1087391.jpg 1
 
2.2%
https://static.tvmaze.com/uploads/images/original_untouched/435/1088283.jpg 1
 
2.2%
Other values (35) 35
77.8%
2023-08-05T14:15:17.824209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 315
 
9.3%
t 270
 
8.0%
a 225
 
6.7%
s 180
 
5.3%
i 180
 
5.3%
o 180
 
5.3%
p 135
 
4.0%
c 135
 
4.0%
. 135
 
4.0%
g 135
 
4.0%
Other values (23) 1485
44.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2385
70.7%
Other Punctuation 495
 
14.7%
Decimal Number 450
 
13.3%
Connector Punctuation 45
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 270
 
11.3%
a 225
 
9.4%
s 180
 
7.5%
i 180
 
7.5%
o 180
 
7.5%
p 135
 
5.7%
c 135
 
5.7%
g 135
 
5.7%
m 135
 
5.7%
e 135
 
5.7%
Other values (9) 675
28.3%
Decimal Number
ValueCountFrequency (%)
4 78
17.3%
1 69
15.3%
8 68
15.1%
0 61
13.6%
3 49
10.9%
5 46
10.2%
7 39
8.7%
9 16
 
3.6%
6 13
 
2.9%
2 11
 
2.4%
Other Punctuation
ValueCountFrequency (%)
/ 315
63.6%
. 135
27.3%
: 45
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 45
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2385
70.7%
Common 990
29.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 270
 
11.3%
a 225
 
9.4%
s 180
 
7.5%
i 180
 
7.5%
o 180
 
7.5%
p 135
 
5.7%
c 135
 
5.7%
g 135
 
5.7%
m 135
 
5.7%
e 135
 
5.7%
Other values (9) 675
28.3%
Common
ValueCountFrequency (%)
/ 315
31.8%
. 135
13.6%
4 78
 
7.9%
1 69
 
7.0%
8 68
 
6.9%
0 61
 
6.2%
3 49
 
4.9%
5 46
 
4.6%
: 45
 
4.5%
_ 45
 
4.5%
Other values (4) 79
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3375
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 315
 
9.3%
t 270
 
8.0%
a 225
 
6.7%
s 180
 
5.3%
i 180
 
5.3%
o 180
 
5.3%
p 135
 
4.0%
c 135
 
4.0%
. 135
 
4.0%
g 135
 
4.0%
Other values (23) 1485
44.0%

_links_self
Text

UNIQUE 

Distinct134
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-08-05T14:15:18.091993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters5226
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique134 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/2448374
2nd rowhttps://api.tvmaze.com/episodes/2568169
3rd rowhttps://api.tvmaze.com/episodes/2392401
4th rowhttps://api.tvmaze.com/episodes/2413771
5th rowhttps://api.tvmaze.com/episodes/2462690
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/2448374 1
 
0.7%
https://api.tvmaze.com/episodes/2383029 1
 
0.7%
https://api.tvmaze.com/episodes/2413771 1
 
0.7%
https://api.tvmaze.com/episodes/2462690 1
 
0.7%
https://api.tvmaze.com/episodes/2462692 1
 
0.7%
https://api.tvmaze.com/episodes/2462693 1
 
0.7%
https://api.tvmaze.com/episodes/2462694 1
 
0.7%
https://api.tvmaze.com/episodes/2462695 1
 
0.7%
https://api.tvmaze.com/episodes/2462696 1
 
0.7%
https://api.tvmaze.com/episodes/2462697 1
 
0.7%
Other values (124) 124
92.5%
2023-08-05T14:15:18.511074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 536
 
10.3%
p 402
 
7.7%
s 402
 
7.7%
e 402
 
7.7%
t 402
 
7.7%
o 268
 
5.1%
a 268
 
5.1%
i 268
 
5.1%
. 268
 
5.1%
m 268
 
5.1%
Other values (16) 1742
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3350
64.1%
Other Punctuation 938
 
17.9%
Decimal Number 938
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p 402
12.0%
s 402
12.0%
e 402
12.0%
t 402
12.0%
o 268
8.0%
a 268
8.0%
i 268
8.0%
m 268
8.0%
h 134
 
4.0%
d 134
 
4.0%
Other values (3) 402
12.0%
Decimal Number
ValueCountFrequency (%)
4 219
23.3%
2 191
20.4%
3 91
9.7%
6 88
9.4%
5 67
 
7.1%
8 59
 
6.3%
0 59
 
6.3%
7 58
 
6.2%
9 56
 
6.0%
1 50
 
5.3%
Other Punctuation
ValueCountFrequency (%)
/ 536
57.1%
. 268
28.6%
: 134
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 3350
64.1%
Common 1876
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 536
28.6%
. 268
14.3%
4 219
11.7%
2 191
 
10.2%
: 134
 
7.1%
3 91
 
4.9%
6 88
 
4.7%
5 67
 
3.6%
8 59
 
3.1%
0 59
 
3.1%
Other values (3) 164
 
8.7%
Latin
ValueCountFrequency (%)
p 402
12.0%
s 402
12.0%
e 402
12.0%
t 402
12.0%
o 268
8.0%
a 268
8.0%
i 268
8.0%
m 268
8.0%
h 134
 
4.0%
d 134
 
4.0%
Other values (3) 402
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5226
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 536
 
10.3%
p 402
 
7.7%
s 402
 
7.7%
e 402
 
7.7%
t 402
 
7.7%
o 268
 
5.1%
a 268
 
5.1%
i 268
 
5.1%
. 268
 
5.1%
m 268
 
5.1%
Other values (16) 1742
33.3%
Distinct89
Distinct (%)66.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-08-05T14:15:18.792288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length34
Mean length33.977612
Min length33

Characters and Unicode

Total characters4553
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)55.2%

Sample

1st rowhttps://api.tvmaze.com/shows/58350
2nd rowhttps://api.tvmaze.com/shows/58522
3rd rowhttps://api.tvmaze.com/shows/64080
4th rowhttps://api.tvmaze.com/shows/64515
5th rowhttps://api.tvmaze.com/shows/65964
ValueCountFrequency (%)
https://api.tvmaze.com/shows/65730 10
 
7.5%
https://api.tvmaze.com/shows/65964 9
 
6.7%
https://api.tvmaze.com/shows/65246 6
 
4.5%
https://api.tvmaze.com/shows/66179 6
 
4.5%
https://api.tvmaze.com/shows/46819 5
 
3.7%
https://api.tvmaze.com/shows/65819 5
 
3.7%
https://api.tvmaze.com/shows/44698 3
 
2.2%
https://api.tvmaze.com/shows/64083 2
 
1.5%
https://api.tvmaze.com/shows/65716 2
 
1.5%
https://api.tvmaze.com/shows/66153 2
 
1.5%
Other values (79) 84
62.7%
2023-08-05T14:15:19.205601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 536
 
11.8%
s 402
 
8.8%
t 402
 
8.8%
h 268
 
5.9%
p 268
 
5.9%
a 268
 
5.9%
. 268
 
5.9%
o 268
 
5.9%
m 268
 
5.9%
6 165
 
3.6%
Other values (16) 1440
31.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2948
64.7%
Other Punctuation 938
 
20.6%
Decimal Number 667
 
14.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 402
13.6%
t 402
13.6%
h 268
9.1%
p 268
9.1%
a 268
9.1%
o 268
9.1%
m 268
9.1%
e 134
 
4.5%
w 134
 
4.5%
c 134
 
4.5%
Other values (3) 402
13.6%
Decimal Number
ValueCountFrequency (%)
6 165
24.7%
5 93
13.9%
4 79
11.8%
9 58
 
8.7%
1 58
 
8.7%
7 46
 
6.9%
2 45
 
6.7%
3 44
 
6.6%
0 41
 
6.1%
8 38
 
5.7%
Other Punctuation
ValueCountFrequency (%)
/ 536
57.1%
. 268
28.6%
: 134
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 2948
64.7%
Common 1605
35.3%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 536
33.4%
. 268
16.7%
6 165
 
10.3%
: 134
 
8.3%
5 93
 
5.8%
4 79
 
4.9%
9 58
 
3.6%
1 58
 
3.6%
7 46
 
2.9%
2 45
 
2.8%
Other values (3) 123
 
7.7%
Latin
ValueCountFrequency (%)
s 402
13.6%
t 402
13.6%
h 268
9.1%
p 268
9.1%
a 268
9.1%
o 268
9.1%
m 268
9.1%
e 134
 
4.5%
w 134
 
4.5%
c 134
 
4.5%
Other values (3) 402
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4553
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 536
 
11.8%
s 402
 
8.8%
t 402
 
8.8%
h 268
 
5.9%
p 268
 
5.9%
a 268
 
5.9%
. 268
 
5.9%
o 268
 
5.9%
m 268
 
5.9%
6 165
 
3.6%
Other values (16) 1440
31.6%

summary
Text

MISSING 

Distinct47
Distinct (%)100.0%
Missing87
Missing (%)64.9%
Memory size1.2 KiB
2023-08-05T14:15:19.544560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length726
Median length158
Mean length198.85106
Min length65

Characters and Unicode

Total characters9346
Distinct characters75
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)100.0%

Sample

1st row<p>Rez shows musician Scott Owen a property near Belongil Beach. And, new agent Travis is in with a good chance to get a listing at one of the most famous celebrity hangouts.</p>
2nd row<p>Before you can go home for Christmas, you have to pack, pack, pack your suitcase. And the participant who takes the longest must go home for Christmas themselves.</p>
3rd row<p>Lana reminds a rule-breaking couple about the pricey consequences. After an eye-opening workshop, one guy tries to get his former flame back in his bed.</p>
4th row<p>Two grenades bring trouble to paradise. Will more eyes wander just when Lana was starting to give green lights?</p>
5th row<p>A fruit-themed party sours with some shocking exits. Two people feel torn between their options — but only one of them is honest.</p>
ValueCountFrequency (%)
the 89
 
5.8%
to 58
 
3.8%
and 51
 
3.3%
a 47
 
3.0%
of 32
 
2.1%
for 22
 
1.4%
with 21
 
1.4%
in 20
 
1.3%
is 16
 
1.0%
but 15
 
1.0%
Other values (779) 1172
76.0%
2023-08-05T14:15:20.098640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1493
16.0%
e 911
 
9.7%
t 631
 
6.8%
a 599
 
6.4%
s 530
 
5.7%
n 524
 
5.6%
o 514
 
5.5%
i 499
 
5.3%
r 421
 
4.5%
h 341
 
3.6%
Other values (65) 2883
30.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 7121
76.2%
Space Separator 1497
 
16.0%
Uppercase Letter 255
 
2.7%
Other Punctuation 245
 
2.6%
Math Symbol 204
 
2.2%
Dash Punctuation 13
 
0.1%
Decimal Number 11
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 911
12.8%
t 631
 
8.9%
a 599
 
8.4%
s 530
 
7.4%
n 524
 
7.4%
o 514
 
7.2%
i 499
 
7.0%
r 421
 
5.9%
h 341
 
4.8%
l 261
 
3.7%
Other values (20) 1890
26.5%
Uppercase Letter
ValueCountFrequency (%)
S 31
12.2%
A 30
 
11.8%
M 24
 
9.4%
T 18
 
7.1%
B 14
 
5.5%
J 14
 
5.5%
O 13
 
5.1%
H 12
 
4.7%
P 12
 
4.7%
C 12
 
4.7%
Other values (13) 75
29.4%
Other Punctuation
ValueCountFrequency (%)
. 96
39.2%
, 63
25.7%
/ 51
20.8%
' 26
 
10.6%
? 3
 
1.2%
; 2
 
0.8%
! 2
 
0.8%
1
 
0.4%
& 1
 
0.4%
Decimal Number
ValueCountFrequency (%)
0 4
36.4%
2 2
18.2%
1 2
18.2%
3 1
 
9.1%
9 1
 
9.1%
8 1
 
9.1%
Dash Punctuation
ValueCountFrequency (%)
- 11
84.6%
1
 
7.7%
1
 
7.7%
Space Separator
ValueCountFrequency (%)
1493
99.7%
  4
 
0.3%
Math Symbol
ValueCountFrequency (%)
> 102
50.0%
< 102
50.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 7376
78.9%
Common 1970
 
21.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 911
12.4%
t 631
 
8.6%
a 599
 
8.1%
s 530
 
7.2%
n 524
 
7.1%
o 514
 
7.0%
i 499
 
6.8%
r 421
 
5.7%
h 341
 
4.6%
l 261
 
3.5%
Other values (43) 2145
29.1%
Common
ValueCountFrequency (%)
1493
75.8%
> 102
 
5.2%
< 102
 
5.2%
. 96
 
4.9%
, 63
 
3.2%
/ 51
 
2.6%
' 26
 
1.3%
- 11
 
0.6%
  4
 
0.2%
0 4
 
0.2%
Other values (12) 18
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9333
99.9%
None 10
 
0.1%
Punctuation 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1493
16.0%
e 911
 
9.8%
t 631
 
6.8%
a 599
 
6.4%
s 530
 
5.7%
n 524
 
5.6%
o 514
 
5.5%
i 499
 
5.3%
r 421
 
4.5%
h 341
 
3.7%
Other values (57) 2870
30.8%
None
ValueCountFrequency (%)
  4
40.0%
ł 3
30.0%
é 1
 
10.0%
ğ 1
 
10.0%
ó 1
 
10.0%
Punctuation
ValueCountFrequency (%)
1
33.3%
1
33.3%
1
33.3%

Interactions

2023-08-05T14:15:11.375983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:15:09.113753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:15:09.779509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:15:10.307818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:15:10.851577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:15:11.478772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:15:09.349662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:15:09.883924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:15:10.420286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:15:10.947973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:15:11.591345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:15:09.450996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:15:09.982006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:15:10.522109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:15:11.048839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:15:11.704776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:15:09.565445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:15:10.096400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:15:10.633916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:15:11.157570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:15:11.816206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:15:09.666784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:15:10.203127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:15:10.738282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T14:15:11.267407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-08-05T14:15:20.225711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
idid_embeddedseasonnumberruntimetypeairtimeairstamp
id1.0000.5120.004-0.066-0.3070.9730.1600.235
id_embedded0.5121.000-0.658-0.273-0.2820.9730.4830.453
season0.004-0.6581.0000.2780.1140.0000.6140.531
number-0.066-0.2730.2781.000-0.0301.0000.5110.466
runtime-0.307-0.2820.114-0.0301.0000.4440.3350.437
type0.9730.9730.0001.0000.4441.0000.2100.366
airtime0.1600.4830.6140.5110.3350.2101.0000.834
airstamp0.2350.4530.5310.4660.4370.3660.8341.000

Missing values

2023-08-05T14:15:11.984431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-08-05T14:15:12.242834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-08-05T14:15:12.411230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

idid_embeddedurlnameseasonnumbertypeairdateairtimeairstampruntimerating_averagemediumoriginal_links_self_links_showsummary
0244837458350https://www.tvmaze.com/episodes/2448374/krutiksy-2x03-plumageddonПлюмагеддон23.0regular2022-12-142022-12-14T00:00:00+00:0010.0NoneNoneNonehttps://api.tvmaze.com/episodes/2448374https://api.tvmaze.com/shows/58350None
1256816958522https://www.tvmaze.com/episodes/2568169/5-knig-2x04-mihail-kozuhovМИХАИЛ КОЖУХОВ24.0regular2022-12-142022-12-14T00:00:00+00:0041.0NoneNoneNonehttps://api.tvmaze.com/episodes/2568169https://api.tvmaze.com/shows/58522None
2239240164080https://www.tvmaze.com/episodes/2392401/cernaa-vesna-1x05-seria-5Серия 515.0regular2022-12-142022-12-14T00:00:00+00:0050.0NoneNoneNonehttps://api.tvmaze.com/episodes/2392401https://api.tvmaze.com/shows/64080None
3241377164515https://www.tvmaze.com/episodes/2413771/avrora-1x08-seria-8Серия 818.0regular2022-12-142022-12-14T00:00:00+00:0045.0NoneNoneNonehttps://api.tvmaze.com/episodes/2413771https://api.tvmaze.com/shows/64515None
4246269065964https://www.tvmaze.com/episodes/2462690/yet-another-conference-1x01-gorodskie-servisyГородские сервисы11.0regular2022-12-142022-12-14T00:00:00+00:0028.0NoneNoneNonehttps://api.tvmaze.com/episodes/2462690https://api.tvmaze.com/shows/65964None
5246269265964https://www.tvmaze.com/episodes/2462692/yet-another-conference-1x02-masinnoe-obucenieМашинное обучение12.0regular2022-12-142022-12-14T00:00:00+00:0024.0NoneNoneNonehttps://api.tvmaze.com/episodes/2462692https://api.tvmaze.com/shows/65964None
6246269365964https://www.tvmaze.com/episodes/2462693/yet-another-conference-1x03-marketplejs-s-robotami-i-nejrosetamiМаркетплейс с роботами и нейросетями13.0regular2022-12-142022-12-14T00:00:00+00:0022.0NoneNoneNonehttps://api.tvmaze.com/episodes/2462693https://api.tvmaze.com/shows/65964None
7246269465964https://www.tvmaze.com/episodes/2462694/yet-another-conference-1x04-po-tu-storonu-ekranaПо ту сторону экрана14.0regular2022-12-142022-12-14T00:00:00+00:0018.0NoneNoneNonehttps://api.tvmaze.com/episodes/2462694https://api.tvmaze.com/shows/65964None
8246269565964https://www.tvmaze.com/episodes/2462695/yet-another-conference-1x05-karty-novogo-pokoleniaКарты нового поколения15.0regular2022-12-142022-12-14T00:00:00+00:0016.0NoneNoneNonehttps://api.tvmaze.com/episodes/2462695https://api.tvmaze.com/shows/65964None
9246269665964https://www.tvmaze.com/episodes/2462696/yet-another-conference-1x06-kvartiry-cerez-internetКвартиры через интернет16.0regular2022-12-142022-12-14T00:00:00+00:0023.0NoneNoneNonehttps://api.tvmaze.com/episodes/2462696https://api.tvmaze.com/shows/65964None
idid_embeddedurlnameseasonnumbertypeairdateairtimeairstampruntimerating_averagemediumoriginal_links_self_links_showsummary
124244548265435https://www.tvmaze.com/episodes/2445482/a-nagy-feher-fonok-1x05-5-resz5. rész15.0regular2022-12-1421:302022-12-14T20:30:00+00:0051.0NoneNoneNonehttps://api.tvmaze.com/episodes/2445482https://api.tvmaze.com/shows/65435None
125243720544698https://www.tvmaze.com/episodes/2437205/vienna-blood-3x01-deadly-communionDeadly Communion31.0regular2022-12-1421:002022-12-14T21:00:00+00:0090.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/435/1087774.jpghttps://static.tvmaze.com/uploads/images/original_untouched/435/1087774.jpghttps://api.tvmaze.com/episodes/2437205https://api.tvmaze.com/shows/44698<p>Vienna, 1908. A young seamstress is murdered in a luxury fashion house. Oscar and Max are initially perplexed by the means and the motive for her death, but further clues are revealed when Max receives a letter at his newly established practice. Together, the two friends uncover some dark and sinister secrets at the heart of the Viennese glamour industry.</p>
126243720644698https://www.tvmaze.com/episodes/2437206/vienna-blood-3x02-the-god-of-shadowsThe God of Shadows32.0regular2022-12-1421:002022-12-14T21:00:00+00:0090.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/435/1087775.jpghttps://static.tvmaze.com/uploads/images/original_untouched/435/1087775.jpghttps://api.tvmaze.com/episodes/2437206https://api.tvmaze.com/shows/44698<p>Max applies his neurological expertise to the case of a retired soldier, Captain Steiner, who is convinced that he is cursed and tortured by vengeful spirits. It looks like a tragic case of trauma-induced paranoia when the captain is found to have committed suicide in a gruesome manner. But Max and Oskar are not convinced.</p>
127243720744698https://www.tvmaze.com/episodes/2437207/vienna-blood-3x03-death-is-now-a-welcome-guestDeath Is Now a Welcome Guest33.0regular2022-12-1421:002022-12-14T21:00:00+00:0089.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/435/1087777.jpghttps://static.tvmaze.com/uploads/images/original_untouched/435/1087777.jpghttps://api.tvmaze.com/episodes/2437207https://api.tvmaze.com/shows/44698<p>When a famous film star dies during the premiere of her new film, both Max and Oskar are on the scene. Max admits she was a former emergency admission to his hospital, where he briefly treated her. Their investigation gets them embroiled in the dark underbelly of stardom and far-right Austrian politics.</p>
128243673158174https://www.tvmaze.com/episodes/2436731/the-traitors-1x07-episode-7Episode 717.0regular2022-12-1421:002022-12-14T21:00:00+00:0056.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/433/1084165.jpghttps://static.tvmaze.com/uploads/images/original_untouched/433/1084165.jpghttps://api.tvmaze.com/episodes/2436731https://api.tvmaze.com/shows/58174<p>The ultimate psychological reality show continues. After a shock banishment set the castle into a spin, the traitors were given a chance to strengthen – but will their plan be successful? Breakfast sees one of the faithful keeping a huge secret from the group, and the players are pushed harder than ever to try to win gold for the prize pot. As paranoia builds, and accusations continue to fly around the group, a dramatic confession at the round table changes the game forever.</p>
129244933956531https://www.tvmaze.com/episodes/2449339/dimension-20-16x03-no-place-for-a-prince-or-princessNo Place For a Prince or Princess163.0regular2022-12-1419:002022-12-15T00:00:00+00:00NaNNoneNoneNonehttps://api.tvmaze.com/episodes/2449339https://api.tvmaze.com/shows/56531None
130245830911630https://www.tvmaze.com/episodes/2458309/meateater-11x08-alaska-mooseAlaska Moose118.0regular2022-12-1420:002022-12-15T01:00:00+00:0030.0NoneNoneNonehttps://api.tvmaze.com/episodes/2458309https://api.tvmaze.com/shows/11630<p>Steve and Clay Newcomb travel to the wilds of interior Alaska for moose.</p>
131228656419499https://www.tvmaze.com/episodes/2286564/mystery-science-theater-3000-s13-special-a-tribute-to-santa-clausA Tribute to Santa Claus13NaNsignificant_special2022-12-1420:002022-12-15T01:00:00+00:00120.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/434/1085130.jpghttps://static.tvmaze.com/uploads/images/original_untouched/434/1085130.jpghttps://api.tvmaze.com/episodes/2286564https://api.tvmaze.com/shows/19499<p>Come along with Mike and the bots as they watch Santa Claus pit his holiday forces against Satan in a battle for children's souls in <i>Santa Claus</i>.</p><p>But first, we'll be premiering Yet another brand new short riff, <i>Bicycle Driver</i>.</p><p>And after the episode, you're invited to a very special MST3K holiday singalong featuring our cast and the musical accompaniment of Paul &amp; Storm!</p>
132240977142189https://www.tvmaze.com/episodes/2409771/all-elite-wrestling-dynamite-2022-12-14-167-winter-is-coming-curtis-culwell-center-in-garland-tx#167 - Winter is Coming: Curtis Culwell Center in Garland, TX202250.0regular2022-12-1420:002022-12-15T01:00:00+00:00120.0NoneNoneNonehttps://api.tvmaze.com/episodes/2409771https://api.tvmaze.com/shows/42189None
133245574954476https://www.tvmaze.com/episodes/2455749/alle-elsker-david-3x15-power-movePower move315.0regular2022-12-1403:002022-12-15T02:00:00+00:0022.0NoneNoneNonehttps://api.tvmaze.com/episodes/2455749https://api.tvmaze.com/shows/54476None